
Global convergence of a modified RMIL+ nonlinear conjugate gradient method with strong wolfe
Author(s) -
Abdelrhaman Abashar,
Osman Omer Osman Yousif,
Awad Abdelrahman,
Mohammed A. Saleh
Publication year - 2022
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v28.i2.pp1184-1191
Subject(s) - conjugate gradient method , convergence (economics) , line search , nonlinear conjugate gradient method , mathematical optimization , nonlinear system , computer science , gradient descent , mathematics , line (geometry) , gradient method , conjugate residual method , scale (ratio) , artificial neural network , artificial intelligence , geometry , physics , radius , computer security , quantum mechanics , economics , economic growth